{"id":"W2103861656","doi":"10.12927/hcpol.2011.22097","title":"Geographic Accessibility of Community Pharmacies in Ontario","year":2011,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership; University of British Columbia","funders":"","keywords":"Pharmacy; Census; Population; Geography; Business; Health care; Metropolitan area; Medicine; Environmental health; Family medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01390218,0.000174921,0.0009466856,0.0008537609,0.0001825575,0.00001643804,0.0004818414,0.0001590147,0.0006027498],"category_scores_gemma":[0.001455172,0.0002288758,0.0001265771,0.0004475032,0.00015983,0.0004042471,0.0001120308,0.0006380118,0.0002004682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132668,"about_ca_system_score_gemma":0.0008438182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425679,"about_ca_topic_score_gemma":0.6647193,"domain_scores_codex":[0.9943376,0.0009877632,0.003809216,0.0002892863,0.00007506715,0.0005010516],"domain_scores_gemma":[0.9967882,0.0004221915,0.001645891,0.0008266488,0.00008716946,0.000229895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002108355,0.000200346,0.891333,0.0004828675,0.00001530236,3.515087e-7,0.02610325,0.000001412715,8.044115e-7,0.08130226,0.0002967589,0.0002425733],"study_design_scores_gemma":[0.0004953429,0.00007676119,0.9270809,0.00005218749,0.000001491468,0.000002146227,0.001299633,0.00002661198,0.00001593025,0.06799794,0.002789626,0.0001614656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729888,0.0007545399,0.00004881865,0.01430168,0.0002341779,0.0005405603,0.0001568077,0.00003883718,0.01093581],"genre_scores_gemma":[0.9886374,0.00009747157,0.0006056867,0.01031986,0.00008080075,0.00007200539,0.00001991506,0.00001971063,0.000147089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2778486,"threshold_uncertainty_score":0.9333283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6957589386545231,"score_gpt":0.5077220522127696,"score_spread":0.1880368864417535,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}